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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 10955
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    Explanations

    the acronym "Ant" followed by a single digit

    oai_token-act-pair · gpt-3.5-turbo

    references to "Ant" or related terms, indicating a focus on specific characters or franchises involving ants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UTION
    -0.84
    UGE
    -0.66
     Carib
    -0.66
     Mustang
    -0.66
    FORMATION
    -0.64
     Bacon
    -0.64
    OUT
    -0.64
    OUP
    -0.64
    ãģį
    -0.63
    glers
    -0.63
    POSITIVE LOGITS
    oine
    1.18
    agonists
    1.15
    elope
    1.15
    ioch
    1.13
    iques
    1.10
    icip
    1.09
    idepress
    1.06
    agonist
    1.05
    enna
    1.03
    ifa
    1.03
    Activations Density 0.024%

    No Known Activations